Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/ahmedawan-oracle/claude-code-pluginsnpx agentmods add skills/ahmedawan-oracle/claude-code-plugins/aidp-fusion-pipelineWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/ahmedawan-oracle/claude-code-plugins/aidp-fusion-pipeline)<a href="https://agentmods.dev/skills/ahmedawan-oracle/claude-code-plugins/aidp-fusion-pipeline"><img src="https://agentmods.dev/badge/skills/ahmedawan-oracle/claude-code-plugins/aidp-fusion-pipeline/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/ahmedawan-oracle/claude-code-plugins/aidp-fusion-pipeline"><img src="https://agentmods.dev/badge/skills/ahmedawan-oracle/claude-code-plugins/aidp-fusion-pipeline.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00251 | $0.03083 |
| Opus 5 | $0.00125 | $0.01541 |
| Sonnet 5 | $0.00050 | $0.00617 |
| Haiku 4.5 | $0.00025 | $0.00308 |
Grade A, and why
aidp-fusion-pipeline scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.
aidp-fusion-pipeline — Fusion ERP/HCM/SCM → AIDP, batteries included
Productizes the official Oracle blog Bring Fusion Data into Oracle AI Data Platform Workbench Using BICC plus the ateam companion How to Extract Fusion Data using Oracle AI Data Platform. The current path is: configure → connect OAC MCP → bootstrap → seed AIDP gold → advise the OAC dataset → use oac-dataset-setup for the governed manual OAC connection/dataset checkpoint → author the workbook via OAC MCP.
When a run, bootstrap, validation, dashboard, or workbook flow reports an
AIDPF-* code, start with aidpf-error-triage.
It is read-only and routes the failure to the recovery skill that owns it.
When to use
- User wants Fusion data in AIDP and asks "where do I start"
- User has BICC privileges and wants curated bronze/silver/gold layers without writing the pipeline
- User is preparing a CFO/analytics demo and needs OAC dashboards on Fusion data
- User wants to use OAC MCP (Preview) to chat with Fusion data via Claude/Cline/Copilot
When NOT to use
- For a single one-off PVO read → use
aidp-fusion-bicc(sibling plugin, smaller scope). - For Fusion REST queries with <50k rows →
aidp-fusion-rest. - For EPM Cloud Planning data slices →
aidp-epm-cloud. - For Essbase MDX →
aidp-essbase.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 151 lines · 251 tokens per session scan A b54dbb410d26
aidp-fusion-pipeline is a skill published in the GitHub repository ahmedawan-oracle/claude-code-plugins (2 stars, last pushed 1mo ago), licensed MIT. It adds 251 tokens to every session and 3,083 once invoked, about $0.0013 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
pinecone
Managed vector DB for production RAG and search.
embeddings
Vector embeddings with HNSW indexing, sql.js persistence, and hyperbolic support. 75x faster with agentic-flow integration. Use when: semantic search, pattern matching, similarity queries, knowledge retrieval. Skip when: exact text matching, simple lookups, no semantic understanding needed.
data-engineer
Build scalable data pipelines, modern data warehouses, and real-time streaming architectures. Implements Apache Spark, dbt, Airflow, and cloud-native data platforms.
graphjin-env
Use when setting up a training or evaluation loop against a GraphJin agent environment — running the container, reading /health, driving episodes hosted or step-by-step or with your own agent over MCP, splitting train from eval, exporting trajectories, and deciding whether two rewards can be compared.
ingesting-into-data-lake
Import data into the AWS data lake from S3 files, local uploads, JDBC databases (Oracle, SQL Server, PostgreSQL, MySQL, RDS, Aurora), Amazon Redshift, Snowflake, BigQuery, DynamoDB, or existing Glue catalog tables (migration). Default target is S3 Tables; standard Iceberg on a general purpose bucket is supported where…
similarity-search-patterns
Implement efficient similarity search with vector databases. Use when building semantic search, implementing nearest neighbor queries, or optimizing retrieval performance.